Dell is open sourcing Crowbar Apache Hadoop barclamps!

This release raises the bar on open Hadoop deployments by making them faster, scalable, more integrated and repeatable.

These barclamps were developed in conjunction with our licensed Dell | Cloudera Solution. The licensed solution is for customers seeking large scale and professionally supported big data solutions. The purpose of the open barclamps (which pull the open source parts from the Cloudera distro) is to help you get started with Hadoop and reduce your learning curve. Our team invested significant testing effort in ensuring that these barclamps work smoothly because they are the foundational layer of our for-pay Hadoop solution.

Included in the Hadoop barclamp suite are Hadoop Map Reduce, Hive, Pig, ZooKeeper and Sqoop running on RHEL 5.7. These barclamps cover the core parts of the Hadoop suite. Like other Crowbar deployments (see OpenStack), the barclamps automatically discover the service configurations and interoperate. One of our team members (call him Scott Jensen) said it very simply “I can deploy a fully an integrated Hadoop cluster in a few hours. That friggin’ rocks!” I just can’t put it more eloquently than that!

I’ll post again when we flip the “open” bit and invite our community to dig in and help us continue to set the standards on open Hadoop deployments.

They are not tired to RHEL. The Chef cookbooks are only tested on RHEL 5.7 at this point. You could deploy Ubuntu (like we use on Openstack) or Centos if you are willing to invest in tweaking the deploys.